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Home | PROF. (DR.) JAYANT VENKATRAO KULKARNI

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PROF. (DR.) JAYANT VENKATRAO KULKARNI

Designation:

Professor

Department:

Instrumentation Engineering

Email :

jayant.kulkarni@vit.edu

Phone :

8806949778

Educational Qualification :

University Degree Year
Swami Ramanand Teerth Marathwada University Phd 2007
Swami Ramanand Teerth Marathwada University ME 2000
Dr. Babasaheb Ambedkar Marathwada University BE 1990


Date of Joining : 10/01/2001


Experience : 30 year:8 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 KBP college Kopargaon Lecturer 12-Aug-1991 10-Jan-2001 9
2 Vishwakarma Institute of Technology Lecturer/Assistant Professor 18-Dec-2000 06-Jul-2007 6
3 Vishwakarma Institute of Technology Professor 07-Jul-2007 26-May-2022 14

Professional Contribution :

  1. SPPU BOS Instrumentation Engg.


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Generative AI using ChatGpt Generative AI using ChatGpt FDP Participated 15-Jan-2024 21-Jan-2024
2 AI Evolution: From Foundations to Generative AI machine learning, deep learning, generative AI FDP Participated 11-Dec-2023 17-Dec-2023

International Journal:

  1. Mine detecting millitary BOT using IOT ,International Journal for Research in applied science and engineering technology,123

International Conference:

  1. ESTIMATE ELASTIC CONSTANT OF MILD STEEL PLATE USING WELCH PERIODOGRAM METHOD ,Advances in physical sciences and materials,123
  2. Orientation feature for fingerprint matching ,Pattern Recognition,108
  3. Rotation and intensity invariant shoeprint matching using Gabor transform with application to forensic science ,Pattern Recognition,109
  4. Features based classification of hard exudates in retinal images ,2015 international conference on advances in computing, communications and informatics (ICACCI),110
  5. development of low-cost posture detection system for healthy sitting , international conference on system computation automation and networking,123


Research Grant / Funded Projects :

  1. Development of automated retinal lmage anarysrs system for determination of diabetic retinopathy: In context to rural India
  2. The vision based Z101 Red Green pass through system



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